Google Launches Gemini: A Suite of Multimodal AI Tools

Google has launched Gemini, a suite of AI tools that can process text, images, audio, and video seamlessly. Gemini consists of three versions: Nano, Pro, and Ultra, with Ultra showing impressive results in benchmarks and matching human performance in some cases. Gemini was built and trained from scratch, specifically designed to process different types of inputs and excel in understanding and interpreting diverse data sources. It has demonstrated crossmodal reasoning capabilities and exceptional language processing capabilities. Real-world testing is needed to determine Gemini’s realistic performance levels, but users can already test the Pro version alongside Bard. Google plans to make Gemini available in over 170 languages and use it to enhance the Pixel Lineup and Search Generative Experience, potentially revolutionizing how we interact with and process multimodal data.

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IBM and Meta Collaborate to Form AI Alliance for Responsible Development

IBM and Meta have formed the AI Alliance, a collaboration dedicated to promoting transparent innovation and responsible development in the field of artificial intelligence (AI). With a combined annual research and development fund of over $80 billion, the AI Alliance prioritizes safety, collaboration, diversity, and economic opportunity for all stakeholders. The alliance includes more than 50 prominent tech companies, prestigious educational and research institutions, and aims to establish standards and guidelines while fostering partnerships with governments, non-profits, and NGOs. It is worth noting that leading AI developers such as Microsoft, Google, OpenAI, and Claude AI’s Anthropic have formed their own group called The Frontier Forum.

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Calm collaborates with CMG Worldwide to bring back Jimmy Stewart’s voice

Calm has announced a collaboration with CMG Worldwide to bring back the voice of late actor Jimmy Stewart using generative AI-voice technology for a bedtime story on the Calm app. The decision to use AI to recreate the voices of deceased celebrities is made on a case-by-case basis, taking into account factors such as platforms and content. The CEO of CMG’s virtual reality division, Travis Cloyd, emphasizes the potential of AI in creating diverse content experiences. While Calm already features sleep stories narrated by living actors, the use of AI to recreate deceased celebrities has received mixed reactions from the entertainment industry.

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Lore Machine Platform Set to Revolutionize Content Creation in 2024

Lore Machine, a platform developed by Lore Machine, is set to redefine the creative landscape in 2024 by leveraging generative AI tools to empower artists, screenwriters, and content creators in visualizing their scripts, books, and articles in unprecedented ways. With significant interest from Hollywood writers, game developers, corporations, and film studios, Lore Machine promises a new era of storytelling and content creation using multimodal AI models.

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Alibaba’s AI Research Team Introduces “Animate Anyone” AI Model

Alibaba’s AI research team has introduced a new AI model named “Animate Anyone,” which can transform photos into high-quality animations, offering consistency and control, and presenting new opportunities for influencers and content creators. The model uses diffusion models and a framework called ReferenceNet to create near-flawless animation that is almost indistinguishable from reality, setting it apart from other popular animation tools. While a competitor called MagicAnimate has also emerged in the AI-driven animation field, both models offer opportunities for creating viral animations and boosting online presence.

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Yann LeCun Shares Perspective on AI and Quantum Computing

Yann LeCun, chief AI scientist at Meta, believes that AI is more likely to achieve “cat-level” or “dog-level” intelligence rather than human-level intelligence due to the current gap in capabilities and the vast amount of data required for true intelligence, suggesting a cautious approach to AI development. He also expresses doubts about the immediate utility and practical relevance of quantum computing, emphasizing the need for continued research and development before significant advancements can be achieved.

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Open-source cloud AI startup Together raises $102.5 million in funding

Open-source cloud AI startup, Together, has raised $102.5 million in Series A funding, attracting prominent investors such as NVIDIA, Kleiner Perkins, and Emergence Capital. The funds will be used to enhance its cloud platform for AI applications, support research and development efforts, and advance open-source AI technologies. Together emphasizes privacy and claims to offer more cost-effective services compared to competitors. NVIDIA’s endorsement further strengthens Together’s position, as the company aims to provide powerful and accessible tools for developers. With a team of industry veterans and top academics, Together is poised to contribute significantly to the field of AI and open-source development.

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Stability AI Launches SDXL Turbo and Latent Consistency Models for AI Image Generation

Stability AI has launched a new model called SDXL Turbo, which aims to revolutionize image generation by significantly reducing the time required to generate high-quality images. Using Adversarial Diffusion Distillation (ADD) technology, SDXL Turbo can generate images in just one second, compared to the 30 to 60 seconds taken by traditional generators. Stability AI has also introduced Latent Consistency Models (LCMs) and LCM-LoRA, which contribute to the field of AI image generation by efficiently generating high-resolution images and enhancing the efficiency and speed of models. While faster image generation may come with a potential trade-off in image fidelity, subsequent iterations with other tools can enhance the details in the generated images. These advancements reflect the growing demand for faster and more realistic image creation, showcasing Stability AI’s commitment to pushing the boundaries of AI technology.

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Coinbase CEO Highlights Potential for AI Agents to Use Cryptocurrencies

Coinbase CEO Brian Armstrong believes that cryptocurrencies have the potential to be utilized by autonomous AI agents for transactions, offering advantages over traditional payment methods. He suggests that the integration of AI and crypto can combat the spread of fake information by leveraging blockchain technology’s transparency. Coinbase is already using AI tools in different areas and sees potential for AI beyond transactions. Additionally, the emergence of decentralized social media projects and the growth of stablecoins, DeFi, and NFTs contribute to the ongoing evolution of the crypto industry.

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